Abstract
Background
Research evidence is not always being disseminated to healthcare providers who need it to inform their clinical practice. This can result in the provision of ineffective services and an inefficient use of resources, the implications of which might be felt particularly acutely in low- and middle-income countries. Malaria prevention is a particularly compelling domain to study evidence/practice gaps given the proven efficacy, cost-effectiveness and disappointing utilization of insecticide-treated nets (ITNs).
Methods
This study compares what is known about ITNs to the related knowledge and practices of healthcare providers in four low- and middle-income countries. A new questionnaire was developed, pilot tested, translated and administered to 497 healthcare providers in Ghana (140), Laos (136), Senegal (100) and Tanzania (121). Ten questions tested participants' knowledge and clinical practice related to malaria prevention. Additional questions addressed their individual characteristics, working context and research-related activities. Ordinal logistic regressions with knowledge and practices as the dependent variable were conducted in addition to descriptive statistics.
Results
The survey achieved a 75% response rate (372/497) across Ghana (107/140), Laos (136/136), Senegal (51/100) and Tanzania (78/121). Few participating healthcare providers correctly answered all five knowledge questions about ITNs (13%) or self-reported performing all five clinical practices according to established evidence (2%). Statistically significant factors associated with higher knowledge within each country included: 1) training in acquiring systematic reviews through the Cochrane Library (OR 2.48, 95% CI 1.30-4.73); and 2) ability to read and write English well or very well (OR 1.69, 95% CI 1.05-2.70). Statistically significant factors associated with better clinical practices within each country include: 1) reading scientific journals from their own country (OR 1.67, 95% CI 1.10-2.54); 2) working with researchers to improve their clinical practice or quality of working life (OR 1.44, 95% CI 1.04-1.98); 3) training on malaria prevention since their last degree (OR 1.68, 95% CI 1.17-2.39); and 4) easy access to the internet (OR 1.52, 95% CI 1.08-2.14).
Conclusions
Improving healthcare providers' knowledge and practices is an untapped opportunity for expanding ITN utilization and preventing malaria. This study points to several strategies that may help bridge the gap between what is known from research evidence and the knowledge and practices of healthcare providers. Training on acquiring systematic reviews and facilitating internet access may be particularly helpful.
Background
There is growing awareness and concern among educators, researchers, practitioners and policymakers that what is known from research evidence is often not being put into action [1,2]. An expanding number of studies continue to show that research evidence is not being disseminated to healthcare providers who need it to inform their clinical practice and improve the health of their patients. Not only does this knowledge deficit lead to sub-optimal care, but it can result in the provision of ineffective services, inefficient use of resources and increasing inequities in health outcomes. This reality is particularly devastating for low-and middle-income countries which suffer from greater resource limitations than more affluent high-income countries. This situation is particularly salient when there are several cost-effective interventions that exist to prevent and address some of today's greatest global health challenges [3]. They are just not all being appropriately utilized.
Efforts to address malaria are particularly implicated by this "know-do" gap given the proven effectiveness of insecticide-treated nets (ITNs) in preventing the disease [4-6], this intervention's cost-effectiveness [7-10], and disappointing patterns in their utilization. The World Malaria Report 2009 highlights that only 31% of African households own at least one ITN and that only 24% of children (< 5 years) used an ITN for at least one day in 2008 [11]. These statistics are well below the World Health Assembly's target of 80% coverage [12]. Research shows that intensive malaria control, and particularly preventative ITNs, can help countries meet the Millennium Development Goals of reducing child mortality by two-thirds (Goal 4) and reversing malaria's incidence worldwide (Goal 6) [3,12-14]. The full implementation of existing malaria interventions like ITNs is also expected to contribute to eradicating extreme poverty and hunger (Goal 1), achieving universal primary education (Goal 2), improving maternal health (Goal 5), and developing a global partnership for development (Goal 8), which includes access to affordable drugs [7,15]. Immediate action is clearly necessary.
This study seeks to probe the gap between what is known globally through research evidence about malaria prevention interventions (specifically ITNs) and the related knowledge and practices of healthcare providers in low- and middle-income countries. While many studies have asked community members about their knowledge and practices relating to malaria prevention [16-39], none could be found that asked these same questions of healthcare providers--who are intuitively and empirically known to influence their patients' behaviour in a variety of contexts [40-44]. In contrast, many studies of healthcare providers' knowledge and practices have addressed malaria diagnosis, treatment, management and transmission [45-50], and the prevention of other conditions, including cancer [51-60], dehydration from diarrhea [61-68] and pregnancy [69-73]. A better understanding of the factors that influence whether healthcare providers in low- and middle-income countries are knowledgeable about and optimally practice malaria prevention will serve to inform efforts aiming to eliminate the global burden of this disease for the future.
Methods
This inquiry is part of a larger study sponsored by the World Health Organization that examined the link between research, practice and policy. Other elements of this global effort have focused on whether and how healthcare providers use research evidence [74,75] and the extent to which researchers support its use [76,77]. This is the first time that the collected data on healthcare providers' knowledge and practices has been analysed and presented.
Questionnaire design
The development, translation, pilot-testing, reliability and validity of the questionnaire administered in this study has been described elsewhere [74]. In summary, the instrument was based on nine existing questionnaires [78-86]. The survey instrument included items about the respondents' individual characteristics, working context, training, networking activities, and access to, trust in and use of research evidence. There were also five true/false questions testing respondents' knowledge of malaria prevention and five questions assessing relevant clinical practices that were developed from multiple sources [87-90]. The instrument was found to have high internal consistency (i.e., reliability) and content and face validity. It was translated into Lao and French for administration in Laos and Senegal [74].
Data collection
The questionnaire was administered locally between October 2004 and December 2005 by country teams in Ghana, Laos, Senegal and Tanzania with each aiming to obtain complete responses from 100 healthcare providers. These four low- and lower-middle-income countries differ in population size, per capita income, health expenditures, life expectancy, coverage for ITNs, and computer and internet access (Table 1).
Table 1.
Country Profiles in 2005
| Country | Ghana | Laos | Senegal | Tanzania | Source |
|---|---|---|---|---|---|
| Population (in millions) | 22 | 6 | 12 | 38 | [91] |
| GDP per capita (in PPP int'l $) | 2, 607 | 2, 147 | 1, 926 | 750 | [92] |
| Per capita total expenditure on health (in PPP int'l $) | 95 | 74 | 72 | 29 | [93] |
| Per capita government expenditure on health (in PPP int'l $) | 40 | 15 | 29 | 12 | [93] |
| Life expectancy at birth for males/females (in years) | 58/59 | 61/63 | 60/64 | 49/51 | [94] |
| Children under-five mortality rate (per 1, 000 live births) | 112 | 79 | 136 | 122 | [94] |
| Children under five sleeping under a net (%, 2003-2006) | 33 | 82 | 14 | 31 | [95] |
| Children under five sleeping under an ITN (%, 2003-2006) | 22 | 18 | 7 | 16 | [95] |
| Personal computers per population (%, 2004) | 1 | 0 | 2 | 1 | [94] |
| Internet users per population (%, 2004) | 2 | 0 | 5 | 1 | [94] |
Data are for 2005 unless otherwise indicated
In Ghana, the country team constructed a sampling frame of appropriate healthcare providers from lists of government and private health facilities obtained from the Ministry of Health and the Society of Private Medical & Dental Practitioners respectively. A stratified cluster random sampling process was used with the facilities stratified by region (Greater Accra and Ashanti) and governance (public vs. private) and then selected randomly for inclusion. 140 healthcare providers were approached representing 48 different facilities. In Laos, a sampling frame was constructed based on existing lists of providers from the Ministry of Health and four provincial health departments. A stratified random sampling process was similarly applied to select 136 healthcare providers who worked at different types of facilities (central, provincial and district hospitals) in Borikhamsay, Savannakheth and Vientiane. In Senegal, a sampling frame was developed from lists of providers working at eight Dakar- or Thiès-based institutions and a list of clinician-scientists they had previously constructed. Simple random sampling was used to select 100 healthcare providers. Finally, in Tanzania, country investigators used purposive sampling to identify 121 regional or district medical officers who were attending a meeting for malaria and the integrated management of childhood illness. These variations in sampling frames and methodology, and the limited sample size, preclude meaningful between-country comparisons.
Data analysis
Basic descriptive statistics were calculated for relevant items. In addition, simple ordinal logistic models were used to explore factors associated with the healthcare providers' knowledge and practices relating to ITNs and malaria prevention. Composite knowledge scores were constructed for each respondent based on the proportion of the five true/false knowledge-testing questions that they answered correctly. All questions were weighted equally and no penalty was given for incorrect answers. Similarly, composite practice scores were constructed for each respondent based on the frequency in which they reported doing the five practices on a five-point scale (i.e., 1 "never", 2 "rarely", 3 "sometimes", 4 "often", and 5 "very often"). The scale was inverted for the one practice which is contrary to recommended practice. All questions were weighted equally such that individual practice scores were integers ranging from five to 25. Both knowledge and practice scores were transformed into quintiles (within each country) and used as ordinal variables. Independent variables for both models included healthcare providers' 1) use of particular sources of evidence, 2) views and activities related to improving clinical practice, and 3) individual and practice characteristics. Multiple imputation (using 100 imputations) was used to fill in missing values using multivariate normal regressions. This approach was selected because it accommodates arbitrary missing-value patterns [96]. Observations were excluded when the dependent variable was missing. All statistical analyses were conducted using Stata/MP 11.2 for Macintosh.
In the analysis, systematic reviews (and the Cochrane Library as the single most comprehensive source) are emphasized because they are widely recognized as the best available approach to the synthesis of global research evidence, they efficiently provide summary information to inform decision-making, and they are widely-available and internationally authoritative on clinical interventions [97-99], including ITNs for the prevention of malaria [4-6]. Previous studies informed the decision to differentiate between scientific journals from high-income countries and the respondents' own country as well as between full reports and summaries [75,80,100].
Results
372 healthcare providers participated in this study out of the 497 providers approached, yielding an overall response rate of 75% (107 of 140 from Ghana, 136 of 136 from Laos, 51 of 100 from Senegal, and 78 of 121 from Tanzania).
A majority of the respondents were male (56%), trained as primary care physicians (67%), could read and write English (63%), and worked in rural areas (56%), government-operated facilities (86%) and hospitals (82%). On average, the respondents were 42 years old and spent the greatest percentage of their time on clinical practice (59%) rather than research (8%), teaching (10%) or administrative duties (18%). Few had easy access to a computer with a CD ROM (24%) or the internet (22%), had earned master's or doctorate degrees (15%), and worked with researchers (44%). Few of the respondents had training on acquiring, assessing or adapting research evidence since their last degree although a substantial number received training related specifically to malaria prevention (45%). There were also few respondents that self-reported using the electronic Cochrane Library at least once a month (11%), but relatively more that self-reported reading electronic or paper versions of clinical practice guidelines, protocols or decision-support tools (59%), scientific journals from either their own country (55%) or high-income countries (36%), and summaries of articles, reports and reviews from public or non-profit organizations (57%). Almost half of the participating healthcare providers reported that research performed in their own country was of above average or excellent quality (48%) (Table 2).
Table 2.
Descriptive statistics on healthcare providers' individual characteristics, working context, and views about and use of research evidence
| Factor | All N = 372 |
Ghana N = 107 |
Laos N = 136 |
Senegal N = 51 |
Tanzania N = 75 |
|---|---|---|---|---|---|
| Individual characteristics | |||||
| Age, yr, mean | 42.0 | 43.0 | 40.7 | 38.9 | 45.5 |
| Sex, male | 55.9 | 59.8 | 41.2 | 45.1 | 84.9 |
| Type of health care provider | |||||
| General practitioner | 67.2% | 53.8% | 86.6% | 29.4% | 77.8% |
| Specialist physician | 5.8% | 10.4% | 4.5% | 5.9% | 1.4% |
| Nurse | 15.7% | 31.1% | 2.2% | 37.3% | 2.8% |
| Health worker | 6.6% | 2.8% | 5.2% | 17.6% | 6.9% |
| Other | 4.7% | 1.9% | 1.5% | 9.8% | 11.1% |
| Allocation of time, % of time† | |||||
| Clinical practice | 59.0% | 71.0% | 65.0% | 63.6% | 28.4% |
| Research | 7.7% | 7.6% | 6.4% | 15.8% | 4.8% |
| Teaching | 10.3% | 10.2% | 9.5% | 6.6% | 14.4% |
| Administration | 18.2% | 9.2% | 12.8% | 8.5% | 47.2% |
| Master's or doctorate degree | 15.1% | 15.0% | 8.1% | 7.8% | 32.1% |
| Training (since completed last degree) in: | |||||
| Acquiring systematic reviews through the Cochrane Library | 8.3% | 12.1% | 4.4% | 4.1% | 19.4% |
| Critically appraising systematic reviews | 10.8% | 16.8% | 3.7% | 6.3% | 33.3% |
| Integrated Management of Childhood Illness (IMCI) | 34.9% | 43.3% | 14.0% | 39.2% | 72.9% |
| Prevention of malaria | 44.6% | 39.2% | 30.9% | 74.5% | 65.1% |
| Easy access to personal computer with CD ROM | 24.3% | 22.6% | 7.5% | 31.4% | 56.3% |
| Easy access to Internet | 21.7% | 21.8% | 6.7% | 43.1% | 35.9% |
| Able to read and write English well or very well | 63.3% | 97.2% | 19.3% | 56.9% | 100% |
| Working context§ | |||||
| Operating authority of facility or practice | |||||
| Government | 86.3% | 59.8% | 100% | 92.2% | 95.8% |
| Nongovernmental organization | 14.5% | 26.2% | 4.4% | 7.8% | 21.1% |
| For-profit organization | 9.6% | 23.4% | 0.7% | 0% | 12.7% |
| Type of facility or practice | |||||
| Solo or individual practice | 13.7% | 13.1% | 9.6% | 15.7% | 21.4% |
| Group practice | 33.2% | 22.4% | 53.7% | 0% | 34.3% |
| Hospital | 81.6% | 79.4% | 93.4% | 51.0% | 84.3% |
| Community health centre | 25.0% | 20.6% | 0.7% | 56.9% | 55.7% |
| Location of facility or practice | |||||
| Urban | 16.0% | 4.7% | 2.4% | 31.4% | 44.6% |
| Rural | 55.7% | 69.8% | 60.3% | 52.9% | 29.7% |
| Mixed | 40.6% | 32.1% | 45.2% | 23.5% | 56.8% |
| Facility had insecticide-treated nets (ITNs) available | 58.5% | 64.5% | 38.5% | 54.9% | 89.0% |
| Views and activities related to improving clinical practice | |||||
| Research performed in their own country is of above average or excellent quality | 47.8% | 57.3% | 28.2% | 39.2% | 75.3% |
| Trust somewhat or completely a systematic review of randomized controlled double-blind trials | 55.5% | 58.7% | 48.1% | 47.1% | 72.6% |
| Working with researchers or research groups to improve clinical practice or the quality of working life | 43.9% | 40.6% | 41.0% | 27.5% | 66.2% |
| Higher quality of available research is important or very important to improve their work | 92.6% | 86.0% | 99.3% | 98.0% | 86.3% |
| Used or read particular sources of evidence | |||||
| Clinical practice guidelines, protocols or decision-support tools | 59.4% | 65.7% | 47.7% | 51.0% | 80.0% |
| Cochrane Library | 11.1% | 20.4% | 6.7% | 5.9% | 9.5% |
| Scientific journals from high-income countries | 35.9% | 55.9% | 15.6% | 29.4% | 50.0% |
| Scientific journals from own country | 55.1% | 53.6% | 64.9% | 17.6% | 67.2% |
| Summaries of articles, reports, and reviews from public and not-for-profit health organizations | 56.9% | 64.1% | 36.4% | 78.4% | 69.2% |
§May not add to 100% because health care providers may practise in more than one setting.
†May not add to 100% because the allocation of time reported by a small number of respondents did not add to 100%
Few participating healthcare providers correctly answered all five knowledge questions about ITNs (13%), whether from Ghana (10%), Laos (0%), Senegal (4%) or Tanzania (33%). The overall percentage of correct responses to individual questions ranged from 43% on the effectiveness of torn ITNs (question 1) to 68% on the protective effect of ITNs for non-users in the same house (question 2), with variation greatest within Senegal (8%-98%) and least within Tanzania (70%-85%). Approximately half of all participating healthcare providers knew that using untreated nets can divert extra biting to sleepers without nets in the same houses (48%), that ITNs need regular re-treatment to remain effective while long-lasting ITNs do not (57%), and that ITNs have been demonstrated to reduce the number of malaria episodes in communities with stable malaria (57%) (Table 3).
Table 3.
Questions assessing healthcare providers' knowledge of malaria prevention
| Question (True/False) | All N = 372 |
Ghana N = 107 |
Laos N = 136 |
Senegal N = 51 |
Tanzania N = 75 |
|---|---|---|---|---|---|
| Insecticide-treated nets that are torn are no longer effective and should not be used. [False] | 43.3% (158/365) | 32.4% (34/105) | 50.7% (69/136) | 7.8% (4/51) | 69.9% (51/73) |
| The use of insecticide-treated nets can reduce the number of bites in sleepers without nets in the same houses. [True] | 68.3% (250/366) | 68.6% (72/105) | 61.8% (84/136) | 78.4% (40/51) | 73.0% (54/74) |
| The use of untreated nets can divert extra biting to sleepers without nets in the same houses. [True] | 48.5% (176/363) | 60.8% (62/102) | 25.7% (35/136) | 51.0% (26/51) | 71.6% (53/74) |
| Insecticide-treated nets need regular re-treatment to remain effective while long-lasting insecticidal nets remain effective for a long time and after many washes, without the need for re-treatment. [True] | 57.2% (207/362) | 64.7% (66/102) | 21.3% (29/136) | 98.0% (50/51) | 84.9% (62/73) |
| Insecticide-treated nets' ability to reduce the number of malaria episodes in communities with stable malaria has not been demonstrated. [False] | 56.6% (206/364) | 69.5% (73/105) | 19.9% (27/136) | 88.2% (45/51) | 84.7% (61/72) |
| All answers correct | 4% | 10% | 0% | 4% | 33% |
Data show the percentage and fraction of respondents who correctly answered each question
Very few participating healthcare providers self-reported performing all five clinical practices according to established evidence (2%), whether from Ghana (1%), Laos (1%), Senegal (4%) or Tanzania (5%). Approximately half of providers often or very often reported that they enquired about young children's home-use of ITNs (52%), recommended to caregivers that young children use them (56%) and advised caregivers on the need to regularly re-treat them (46%). A quarter of the participating healthcare providers reported often or very often giving ITNs to the caretakers of young children and pregnant women (26%). More than one-third of the respondents self-reported that they often or very often incorrectly informed caretakers that torn ITNs are worse than no ITNs (37%) (Table 4).
Table 4.
Questions assessing healthcare providers' practices relating to malaria prevention
| Question (Frequency) | All N = 372 |
Ghana N = 107 |
Laos N = 136 |
Senegal N = 51 |
Tanzania N = 75 |
|---|---|---|---|---|---|
| When treating young children, how often did you enquire about their and their caretakers' home-use of insecticide-treated nets? [Recommended practice] | 51.9% (191/368) | 57.9% (62/107) | 41.9% (57/136) | 33.3% (17/51) | 74.3% (55/74) |
| When treating young children, how often did you recommend caretakers to use insecticide-treated nets for their young children? [Recommended practice] | 56.1% (207/369) | 65.4% (70/107) | 44.9% (61/136) | 37.2% (19/51) | 76.0% (57/75) |
| When treating young children, how often did you inform caretakers who used insecticide-treated nets of the need to regularly re-treat their nets? [Recommended practice] | 46.2% (170/368) | 40.2% (43/107) | 39.0% (53/136) | 37.2% (19/51) | 74.3% (55/74) |
| When treating young children and pregnant women, how often did you (or someone acting on your behalf) provide caretakers and pregnant women with an insecticide-treated nets for home-use? [Recommended practice] | 26.3% (97/368) | 31.1% (33/106) | 15.4% (21/136) | 33.3% (17/51) | 34.7% (26/75) |
| When treating young children, how often did you inform caretakers that torn insecticide-treated nets are worse than no insecticide-treated nets? [Contrary to recommended practice] | 36.5% (133/364) | 29.5% (31/105) | 41.2% (56/136) | 35.3% (18/51) | 38.9% (28/72) |
| All recommended practices | 2% | 1% | 1% | 4% | 5% |
Data show the percentage and fraction of respondents who over the previous 12 months engaged in the recommended practices described in the first four questions either often or very often (vs. never, rarely, sometimes, and not applicable) and who never engaged in the non-recommended practice as described in the last question (vs. rarely, sometimes, often, very often, and not applicable)
The first ordinal logistic model revealed two statistically significant factors associated with healthcare providers having higher knowledge scores related to malaria prevention: 1) training in acquiring systematic reviews through the Cochrane Library since completing their last degree (odds ratio [OR] 2.82, 95% confidence interval [CI] 1.08-7.36); and 2) the ability to read and write English well or very well (OR 1.92, 95% CI 1.37-2.69). The second ordinal logistic model highlighted several factors associated with healthcare providers following better practices relating to malaria prevention, namely: 1) reading scientific journals from their own country (OR 1.67, 95% CI 1.10-2.54); 2) working with researchers to improve their clinical practice or quality of working life (OR 1.44, 95% CI 1.04-1.98); 3) training on malaria prevention since their last degree (OR 1.68, 95% CI 1.17-2.39); and 4) easy access to the internet (OR 1.52, 95% CI 1.08-2.14) (Table 5).
Table 5.
Ordinal logistic models for the factors associated with the log odds of having higher knowledge and better practices
| Factor | Knowledge (n = 340) |
Practices (n = 340) |
||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
| Individual characteristics | ||||
| Age* | 1.07 | (0.96, 1.19) | 1.14 | (0.94, 1.38) |
| Age squared* | 1.00 | (1.00, 1.00) | 1.00 | (1.00, 1.00) |
| Sex, male | 1.16 | (0.93, 1.46) | 1.28 | (0.98, 1.68) |
| Specialist physician | 1.15 | (0.60, 2.20) | 1.82 | (0.71, 4.65) |
| Time allocated to research ** | 1.01 | (1.00, 1.01) | 1.01 | (0.99, 1.02) |
| Master's or doctorate degree | 1.01 | (0.81, 1.26) | 0.81 | (0.48, 1.35) |
| Training (since completed last degree) in: | ||||
| Acquiring systematic reviews through the Cochrane Library | 2.82 | (1.08, 7.36) | 0.99 | (0.49, 2.00) |
| Critically appraising systematic reviews | 0.77 | (0.25, 2.40) | 1.28 | (0.66, 2.47) |
| Integrated Management of Childhood Illness (IMCI) | 0.72 | (0.41, 1.28) | 0.95 | (0.48, 1.90) |
| Prevention of malaria | 1.20 | (0.73, 1.97) | 1.68 | (1.17, 2.39) |
| Easy access to a personal computer with a CD ROM | 1.50 | (0.63, 3.58) | 0.63 | (0.28, 1.43) |
| Easy access to the internet | 1.07 | (0.44, 2.57) | 1.52 | (1.08, 2.14) |
| Able to read and write English well or very well | 1.92 | (1.37, 2.69) | 1.00 | (0.63, 1.58) |
| Working Context | ||||
| Based in a facility or practice with an NGO as the operating authority | 0.90 | (0.32, 2.53) | 1.25 | (0.66, 2.37) |
| Based in a hospital | 1.08 | (0.83, 1.39) | 0.66 | (0.32, 1.34) |
| Located in an urban setting | 1.01 | (0.85, 1.19) | 1.00 | (0.73, 1.37) |
| Facility had insecticide-treated nets (ITNs) available | 0.71 | (0.35, 1.46) | 2.58 | (0.52, 12.94) |
| Views and activities related to improving clinical practice | ||||
| Research performed in their own country is of above average or excellent quality | 0.78 | (0.35, 1.73) | 1.49 | (0.88, 2.53) |
| Trust somewhat or completely a systematic review of randomized controlled double-blind trials | 1.06 | (0.63, 1.79) | 1.16 | (0.52, 2.58) |
| Working with researchers or research groups to improve clinical practice or the quality of working life | 1.11 | (0.69, 1.78) | 1.44 | (1.04, 1.98) |
| Higher quality of available research is important or very important to improve their work | 1.07 | (0.54, 2.14) | 0.63 | (0.33, 1.18) |
| Used or read particular sources of evidence | ||||
| Clinical practice guidelines, protocols or decision-support tools | 1.06 | (0.71, 1.60) | 1.32 | (0.83, 2.10) |
| Cochrane Library | 0.68 | (0.37, 1.27) | 0.98 | (0.56, 1.70) |
| Scientific journals from high-income countries | 1.09 | (0.50, 2.36) | 0.74 | (0.47, 1.16) |
| Scientific journals from own country | 1.31 | (0.88, 1.95) | 1.67 | (1.10, 2.54) |
| Summaries of articles, reports, and reviews from public and not-for-profit health organizations | 1.37 | (0.50, 3.75) | 1.27 | (0.92, 1.76) |
| Thresholds | ||||
| k1 | 1.81 | (-0.29, 3.91) | 2.59 | (-2.31, 7.49) |
| k2 | 3.03 | (1.23, 4.84) | 3.87 | (-0.99, 8.73) |
| k3 | 3.33 | (1.16, 5.49) | 4.99 | (0.16, 9.81) |
| k4 | 4.59 | (1.90, 7.28) | 5.92 | (0.63, 11.21) |
CI = confidence interval, NGO = nongovernmental organization, OR = odds ratio
Standard errors adjusted for 4 clusters (i.e., country). All regression models include country dummies (Tanzania is the reference country)
* Entered in regression models as continuous variables measured in years
** Entered in regression models as continuous variable measured in percent of time
Discussion
Principal findings
There is room for improvement in the knowledge and practices relevant to the prevention of malaria among the healthcare providers in low- and middle-income countries that were included in this study. Many misconceptions of ITNs remain common even among highly educated healthcare providers. For example, many participating healthcare providers did not know that the use of untreated nets can divert extra biting to sleepers without nets in the same home, and many of them self-reported that they often (incorrectly) informed patients that torn ITNs are worse than no ITNs. These gaps in knowledge and practices on the prevention of malaria align with other gaps that have been well-documented among households on the same issue [16-39] and healthcare providers on the diagnosis, treatment and transmission of malaria in low- and middle-income countries [45-50] and other diseases and conditions around the world [51-73,101-122].
This study also found various alterable factors that were associated with higher knowledge and better practices. For example, healthcare providers that had access to the internet and training in malaria prevention reported better practices relating to malaria prevention than those who did not. This study also indicates that healthcare providers who read journals from their own country not only self-report that these journals lead to changes in their clinical practice, as previous studies have found [75,80], but that reading these journals is actually associated with better self-reported practices. In addition, this study confirms the importance of interactions between healthcare providers and researchers for achieving evidence-based practice as has been widely reported in the research literature [123,124]. This study further offers some data and a baseline to help define the scope of this challenge.
The logistic models suggest that higher knowledge and better practices may be associated with different factors. While it may be the case that these factors influence knowledge and practices differently, these divergent results could also be explained by social desirability bias which presumably would affect self-reports of practices much more than it would affect answers to knowledge-testing questions. Alternatively, the models may lack sufficient power, the dependent variables may not adequately reflect respondents' real "knowledge" and "practice", or there may be confounding variables affecting the analysis.
Policy implications
Improving healthcare providers' knowledge and practices is an untapped opportunity for expanding ITN coverage and preventing malaria. Not only are healthcare providers the main source through which people learn about and use health interventions [1], but they are known to greatly influence their patients' health-related behaviours [40-44]. Now that gaps in knowledge and practices relating to malaria prevention have been identified, appropriate interventions targeting healthcare providers can be deployed with the possibility that small investments directed at this influential group may efficiently achieve significant returns across large populations. These interventions can be informed by the many studies conducted on how to bring about behaviour change among healthcare providers, including systematic reviews of studies on the effectiveness of audit and feedback [125], distribution of education materials [126], educational meetings [127], local opinion leaders [128], outreach visits [91], and reminders [129], as well as the Rx for Change and Health Systems Evidence databases which contain these types of reviews [130,131]. In addition, the results from this study also highlight several changeable factors that may be helpful for improving healthcare providers' knowledge and practices more broadly. This is information that national health policymakers, civil society leaders, donors and international organizations can use to design optimized strategies and evidence-informed policies that may lead to accelerated progress in this area.
Specifically, this study's results point to several possible areas in which interventions may be effective in helping healthcare providers attain greater knowledge on malaria prevention and evidence-based practices. First, the low proportion of healthcare providers who received training in acquiring, assessing and adapting research evidence suggests such training is an opportunity for improvement--especially if it covers systematic reviews. Indeed, whereas graduate degrees and clinical specialization were not associated with greater knowledge on malaria prevention, training in acquiring systematic reviews through the Cochrane Library was. Second, improving access to computers and the internet may be fruitful. While only 11% of the total sample used the Cochrane Library (which is free in most low-income countries), this doubles to 25% for those who have easy access to the internet. Third, the fact that English language abilities were associated with higher knowledge suggests that the best health knowledge and/or training opportunities may not be available to healthcare providers in their local languages. Efforts to disseminate translated research syntheses may be helpful. Fourth, supporting interaction between healthcare providers and researchers may also be an effective strategy for improving clinical practice. Finally, access to scientific journals from healthcare providers' own country can be facilitated, especially as the studies they contain would be among the most applicable to their local context.
Strengths and limitations of the study
This study has five main strengths. First, it examines malaria, a disease prioritized in the Millennium Development Goals and which has a proven intervention for prevention that is not universally utilized (i.e., ITNs). Second, the study's questionnaire was built on existing questionnaires, pilot tested, and assessed for reliability and validity [74]. Third, data were collected from four low- and lower-middle-income countries with different life expectancies, coverage rates for ITNs, and other characteristics. Fourth, high response rates were achieved in three of four countries. Fifth, knowledge and practice scores were calculated from a range of testing questions for which the participating healthcare providers were not told the correct answer, which is a more objective metric than asking participants to self-evaluate whether they had "high" or "low" knowledge and practices as has been done in past studies.
This study has four main limitations. First, the survey relies on self-reported data to assess healthcare providers' practices which increases the risk of social desirability bias and may differ from actual performance. One review of studies conducted between 1980-1996 suggests self-reports of practices overestimate actual behaviour (in that case, of adherence to practice guidelines) by up to 27% [132]. Second, the composite knowledge and practice scores were based on responses to only ten questions. Third, linguistic and cultural differences may have affected respondents' interpretation of certain questions. Fourth, resource constraints prevented the survey of fully representative samples of healthcare providers in the four countries which means results cannot and should not be compared across countries. For example, participants in Tanzania were mostly district or regional medical officers who were attending a meeting on malaria--a group that would be expected to have relative good knowledge and practices--whereas the majority of respondents in Senegal were not physicians given this country's reliance on nurses and community health workers for preventative care. Future studies like this one, if possible, should be conducted using representative samples in order to enhance generalizability.
Conclusions
Increased attention is necessary to help bridge the gap between what is known from research evidence about preventing malaria and the knowledge and practices of healthcare providers in low- and middle-income countries. Until serious and multi-pronged efforts are implemented, we may never be able to fully capitalize on existing evidence-based and cost-effective interventions like ITNs for reducing the burden of malaria, addressing inequities and improving health globally. Those policymakers, civil society leaders, donors and international organizations who are working to prevent malaria should at least consider strategies to enhance healthcare provider' knowledge and evidence-based practice, such as offering training on acquiring systematic reviews, facilitating access to the internet, translating research syntheses to local languages, encouraging interactions with researchers, making ITNs available at healthcare facilities, and supporting the dissemination of local scientific journals. Further studies are necessary to both confirm these exploratory findings and more precisely inform future policy directions.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
SJH, GEG, JNL, GDN, EJAO, MFS and BB contributed substantially to the study concept and design, the acquisition of data, or the analysis and interpretation of data, and revised the article critically for important intellectual content. SJH led the drafting of the paper, GEG led the data analysis, and JNL led the overall study design. All authors gave their approval for this paper to be published.
Funding
Funding for this project was provided by the Alliance for Health Policy & Systems Research and the Global Development Network and supplemented with substantial in-kind support of staff time and other resources from McMaster University and the World Health Organization. John Lavis receives salary support as the Canada Research Chair in Knowledge Transfer and Exchange. The views expressed in this paper are those of the authors and do not represent the views of their affiliated organizations.
Contributor Information
Steven J Hoffman, Email: hoffmans@mcmaster.ca.
G Emmanuel Guindon, Email: egguindon@uwaterloo.ca.
John N Lavis, Email: lavisj@mcmaster.ca.
Godwin D Ndossi, Email: gndossi2@yahoo.co.uk.
Eric JA Osei, Email: ejakoss86@yahoo.com.
Mintou Fall Sidibe, Email: mintousidibe@yahoo.fr.
Boungnong Boupha, Email: boungnong.boupha@gmail.com.
Acknowledgements
Members of the Research to Policy and Practice (RPP) Study Team include: John N. Lavis, G. Emmanuel Guindon, David Cameron and Steven J. Hoffman (Canada); Guang Shi and Tinglin Qiu (China); Eric J.A. Osei and Kudjoe Dovlo (Ghana); C.A.K. Yesudian and P. Ramachandran (India); Hossein Malek-Afzali, M. Dejman, K. Falahat, M. Baradaran, E. Habibi, H. Kohanzad, M. Nasehi and S. Salek (Iran); A.A. Akanov, B.S. Turdaliyeva, N.K. Hamzina, K.A. Tulebaev, T.I. Clazhneva, and G. Battakova (Kazakhstan); Boungnong Boupha, Sengchanh Kounnavong, and Latsamy Siengsounthone (Lao People's Democratic Republic); Francisco Becerra-Posada, Leticia Alfaro Ramos and Israel Mejia (Mexico); Tasleem Akhtar and M. Mubashir A. Khan (Pakistan); Mintou Fall Sidibe, Awa Sidibe, and Djiby Ndiaye (Senegal); Godwin D. Ndossi and Julius Massaga (Tanzania); and Ritu Sadana and Tikki Pang (World Health Organization).
We thank the technical experts who provided support to one or more phases of the study, the researchers who shared their questionnaires with us, and the participants in the project workshop that was held in Geneva to discuss the data-collection process, interim findings, and potential implications for dissemination and next steps. We also thank Andrew Kennedy and Carol D'Souza who provided scientific input in one or more phases of the study.
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